Dong-Sik Jang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #27,788 of 35,345 by trust here, #34,213 by citations
• Management Science and Operations Research — 5 citations into it; #9,073 of 11,946 by trust here, #11,360 by citations

Whom Dong-Sik Jang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Monica Lam
4. Jun Yu
5. Alex Krizhevsky
6. Ilya Sutskever
7. Shen Furao
8. Byeong Seok Ahn
9. Simon Osindero
10. Andrej Karpathy

Who trusts Dong-Sik Jang overall

1. A. Ozbayoglu

Papers from Dong-Sik Jang's perspective

Ordered by how strongly the researchers Dong-Sik Jang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. A Fast Learning Algorithm for Deep Belief Nets
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Learning-Based Corporate Performance Prediction Model Considering Technical Capability (2017) — 49 citations